Description

Book Synopsis

R. Kent Nagle (deceased) taught at the University of South Florida. He was a research mathematician and an accomplished author. His legacy is honored in part by the Nagle Lecture Series which promotes mathematics education and the impact of mathematics on society. He was a member of the American Mathematical Society for 21 years. Throughout his life, he imparted his love for mathematics to everyone, from students to colleagues.

 

Edward B. Saff received his B.S. in applied mathematics from Georgia Institute of Technology and his Ph.D. in Mathematics from the University of Maryland. After his tenure as Distinguished Research Professor at the University of South Florida, he joined the Vanderbilt University Mathematics Department faculty in 2001 as Professor and Director of the Center for Constructive Appro

Table of Contents
1. Introduction

  • 1.1 Background
  • 1.2 Solutions and Initial Value Problems
  • 1.3 Direction Fields
  • 1.4 The Approximation Method of Euler
2. First-Order Differential Equations
  • 2.1 Introduction: Motion of a Falling Body
  • 2.2 Separable Equations
  • 2.3 Linear Equations
  • 2.4 Exact Equations
  • 2.5 Special Integrating Factors
  • 2.6 Substitutions and Transformations
3. Mathematical Models and Numerical Methods Involving First Order Equations
  • 3.1 Mathematical Modeling
  • 3.2 Compartmental Analysis
  • 3.3 Heating and Cooling of Buildings
  • 3.4 Newtonian Mechanics
  • 3.5 Electrical Circuits
  • 3.6 Improved Euler's Method
  • 3.7 Higher-Order Numerical Methods: Taylor and Runge-Kutta
4. Linear Second-Order Equations
  • 4.1 Introduction: The Mass-Spring Oscillator
  • 4.2 Homogeneous Linear Equations: The General Solution
  • 4.3 Auxiliary Equations with Complex Roots
  • 4.4 Nonhomogeneous Equations: The Method of Undetermined Coefficients
  • 4.5 The Superposition Principle and Undetermined Coefficients Revisited
  • 4.6 Variation of Parameters
  • 4.7 Variable-Coefficient Equations
  • 4.8 Qualitative Considerations for Variable-Coefficient and Nonlinear Equations
  • 4.9 A Closer Look at Free Mechanical Vibrations
  • 4.10 A Closer Look at Forced Mechanical Vibrations
5. Introduction to Systems and Phase Plane Analysis
  • 5.1 Interconnected Fluid Tanks
  • 5.2 Elimination Method for Systems with Constant Coefficients
  • 5.3 Solving Systems and Higher-Order Equations Numerically
  • 5.4 Introduction to the Phase Plane
  • 5.5 Applications to Biomathematics: Epidemic and Tumor Growth Models
  • 5.6 Coupled Mass-Spring Systems
  • 5.7 Electrical Systems
  • 5.8 Dynamical Systems, Poincaré Maps, and Chaos
6. Theory of Higher-Order Linear Differential Equations
  • 6.1 Basic Theory of Linear Differential Equations
  • 6.2 Homogeneous Linear Equations with Constant Coefficients
  • 6.3 Undetermined Coefficients and the Annihilator Method
  • 6.4 Method of Variation of Parameters
7. Laplace Transforms
  • 7.1 Introduction: A Mixing Problem
  • 7.2 Definition of the Laplace Transform
  • 7.3 Properties of the Laplace Transform
  • 7.4 Inverse Laplace Transform
  • 7.5 Solving Initial Value Problems
  • 7.6 Transforms of Discontinuous Functions
  • 7.7 Transforms of Periodic and Power Functions
  • 7.8 Convolution
  • 7.9 Impulses and the Dirac Delta Function
  • 7.10 Solving Linear Systems with Laplace Transforms
8. Series Solutions of Differential Equations
  • 8.1 Introduction: The Taylor Polynomial Approximation
  • 8.2 Power Series and Analytic Functions
  • 8.3 Power Series Solutions to Linear Differential Equations
  • 8.4 Equations with Analytic Coefficients
  • 8.5 Cauchy-Euler (Equidimensional) Equations
  • 8.6 Method of Frobenius
  • 8.7 Finding a Second Linearly Independent Solution
  • 8.8 Special Functions
9. Matrix Methods for Linear Systems
  • 9.1 Introduction
  • 9.2 Review 1: Linear Algebraic Equations
  • 9.3 Review 2: Matrices and Vectors
  • 9.4 Linear Systems in Normal Form
  • 9.5 Homogeneous Linear Systems with Constant Coefficients
  • 9.6 Complex Eigenvalues
  • 9.7 Nonhomogeneous Linear Systems
  • 9.8 The Matrix Exponential Function
10. Partial Differential Equations
  • 10.1 Introduction: A Model for Heat Flow
  • 10.2 Method of Separation of Variables
  • 10.3 Fourier Series
  • 10.4 Fourier Cosine and Sine Series
  • 10.5 The Heat Equation
  • 10.6 The Wave Equation
  • 10.7 Laplace's Equation
Appendix A. Newton's Method Appendix B. Simpson's Rule Appendix C. Cramer's Rule Appendix D. Method of Least Squares Appendix E. Runge-Kutta Procedure for n Equations

Fundamentals of Differential Equations

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A Hardback by R. Nagle, Edward Saff, Arthur Snider

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    View other formats and editions of Fundamentals of Differential Equations by R. Nagle

    Publisher: Pearson Education (US)
    Publication Date: 29/05/2017
    ISBN13: 9780321977069, 978-0321977069
    ISBN10: 0321977068

    Description

    Book Synopsis

    R. Kent Nagle (deceased) taught at the University of South Florida. He was a research mathematician and an accomplished author. His legacy is honored in part by the Nagle Lecture Series which promotes mathematics education and the impact of mathematics on society. He was a member of the American Mathematical Society for 21 years. Throughout his life, he imparted his love for mathematics to everyone, from students to colleagues.

     

    Edward B. Saff received his B.S. in applied mathematics from Georgia Institute of Technology and his Ph.D. in Mathematics from the University of Maryland. After his tenure as Distinguished Research Professor at the University of South Florida, he joined the Vanderbilt University Mathematics Department faculty in 2001 as Professor and Director of the Center for Constructive Appro

    Table of Contents
    1. Introduction

    • 1.1 Background
    • 1.2 Solutions and Initial Value Problems
    • 1.3 Direction Fields
    • 1.4 The Approximation Method of Euler
    2. First-Order Differential Equations
    • 2.1 Introduction: Motion of a Falling Body
    • 2.2 Separable Equations
    • 2.3 Linear Equations
    • 2.4 Exact Equations
    • 2.5 Special Integrating Factors
    • 2.6 Substitutions and Transformations
    3. Mathematical Models and Numerical Methods Involving First Order Equations
    • 3.1 Mathematical Modeling
    • 3.2 Compartmental Analysis
    • 3.3 Heating and Cooling of Buildings
    • 3.4 Newtonian Mechanics
    • 3.5 Electrical Circuits
    • 3.6 Improved Euler's Method
    • 3.7 Higher-Order Numerical Methods: Taylor and Runge-Kutta
    4. Linear Second-Order Equations
    • 4.1 Introduction: The Mass-Spring Oscillator
    • 4.2 Homogeneous Linear Equations: The General Solution
    • 4.3 Auxiliary Equations with Complex Roots
    • 4.4 Nonhomogeneous Equations: The Method of Undetermined Coefficients
    • 4.5 The Superposition Principle and Undetermined Coefficients Revisited
    • 4.6 Variation of Parameters
    • 4.7 Variable-Coefficient Equations
    • 4.8 Qualitative Considerations for Variable-Coefficient and Nonlinear Equations
    • 4.9 A Closer Look at Free Mechanical Vibrations
    • 4.10 A Closer Look at Forced Mechanical Vibrations
    5. Introduction to Systems and Phase Plane Analysis
    • 5.1 Interconnected Fluid Tanks
    • 5.2 Elimination Method for Systems with Constant Coefficients
    • 5.3 Solving Systems and Higher-Order Equations Numerically
    • 5.4 Introduction to the Phase Plane
    • 5.5 Applications to Biomathematics: Epidemic and Tumor Growth Models
    • 5.6 Coupled Mass-Spring Systems
    • 5.7 Electrical Systems
    • 5.8 Dynamical Systems, Poincaré Maps, and Chaos
    6. Theory of Higher-Order Linear Differential Equations
    • 6.1 Basic Theory of Linear Differential Equations
    • 6.2 Homogeneous Linear Equations with Constant Coefficients
    • 6.3 Undetermined Coefficients and the Annihilator Method
    • 6.4 Method of Variation of Parameters
    7. Laplace Transforms
    • 7.1 Introduction: A Mixing Problem
    • 7.2 Definition of the Laplace Transform
    • 7.3 Properties of the Laplace Transform
    • 7.4 Inverse Laplace Transform
    • 7.5 Solving Initial Value Problems
    • 7.6 Transforms of Discontinuous Functions
    • 7.7 Transforms of Periodic and Power Functions
    • 7.8 Convolution
    • 7.9 Impulses and the Dirac Delta Function
    • 7.10 Solving Linear Systems with Laplace Transforms
    8. Series Solutions of Differential Equations
    • 8.1 Introduction: The Taylor Polynomial Approximation
    • 8.2 Power Series and Analytic Functions
    • 8.3 Power Series Solutions to Linear Differential Equations
    • 8.4 Equations with Analytic Coefficients
    • 8.5 Cauchy-Euler (Equidimensional) Equations
    • 8.6 Method of Frobenius
    • 8.7 Finding a Second Linearly Independent Solution
    • 8.8 Special Functions
    9. Matrix Methods for Linear Systems
    • 9.1 Introduction
    • 9.2 Review 1: Linear Algebraic Equations
    • 9.3 Review 2: Matrices and Vectors
    • 9.4 Linear Systems in Normal Form
    • 9.5 Homogeneous Linear Systems with Constant Coefficients
    • 9.6 Complex Eigenvalues
    • 9.7 Nonhomogeneous Linear Systems
    • 9.8 The Matrix Exponential Function
    10. Partial Differential Equations
    • 10.1 Introduction: A Model for Heat Flow
    • 10.2 Method of Separation of Variables
    • 10.3 Fourier Series
    • 10.4 Fourier Cosine and Sine Series
    • 10.5 The Heat Equation
    • 10.6 The Wave Equation
    • 10.7 Laplace's Equation
    Appendix A. Newton's Method Appendix B. Simpson's Rule Appendix C. Cramer's Rule Appendix D. Method of Least Squares Appendix E. Runge-Kutta Procedure for n Equations

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